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Paper Abstract and Keywords
Presentation 2021-03-26 09:00
A 64M CMOS Image Sensor using 0.7um pixel with high FWC and switchable conversion gain
Y. Jay Jung, Vincent C. Venezia, Sangjoo Lee, Chun Yung Ai, Yibo Zhu, King W. Yeung, Geunsook Park, Woonil Choi, Zhiqiang Lin, Wu-Zang Yang, Alan Chih-Wei Hsiung, Lindsay Grant (OmniVision Technologies, Inc.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a 64 mega-pixel, backside illuminated, CMOS image sensor using a 0.7um pixel pitch with a 7.0ke- linear full well capacity (FWC). A switchable conversion gain design was also demonstrated to have a high 18.0ke- FWC in 4-Cell pixel binning mode. Several new processes were implemented to overcome pixel performance degradation due to pixel scaling. As a result, this high FWC image sensor achieves low dark noise of 1.26e- and high quantum efficiency, comparable to larger pixel pitch products, such as 0.8um.
Keyword (in Japanese) (See Japanese page) 
(in English) CMOS image sensor / Submicron pixel / Full well capacity / Switchable conversion gain / / / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 11, IST2021-8, pp. 1-4, March 2021.
Paper # IST2021-8 
Date of Issue 2021-03-19 (IST) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee IST  
Conference Date 2021-03-26 - 2021-03-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Sensors, etc. 
Paper Information
Registration To IST 
Conference Code 2021-03-IST 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A 64M CMOS Image Sensor using 0.7um pixel with high FWC and switchable conversion gain 
Sub Title (in English)  
Keyword(1) CMOS image sensor  
Keyword(2) Submicron pixel  
Keyword(3) Full well capacity  
Keyword(4) Switchable conversion gain  
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Keyword(6)  
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1st Author's Name Y. Jay Jung  
1st Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
2nd Author's Name Vincent C. Venezia  
2nd Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
3rd Author's Name Sangjoo Lee  
3rd Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
4th Author's Name Chun Yung Ai  
4th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
5th Author's Name Yibo Zhu  
5th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
6th Author's Name King W. Yeung  
6th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
7th Author's Name Geunsook Park  
7th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
8th Author's Name Woonil Choi  
8th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
9th Author's Name Zhiqiang Lin  
9th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
10th Author's Name Wu-Zang Yang  
10th Author's Affiliation OmniVision Technologies, Inc., Taiwan, Hsinchu, Taiwan (OmniVision Technologies, Inc.)
11th Author's Name Alan Chih-Wei Hsiung  
11th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
12th Author's Name Lindsay Grant  
12th Author's Affiliation OmniVision Technologies, Inc., Santa Clara, CA (OmniVision Technologies, Inc.)
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Speaker
Date Time 2021-03-26 09:00:00 
Presentation Time 25 
Registration for IST 
Paper # ITE-IST2021-8 
Volume (vol) ITE-45 
Number (no) no.11 
Page pp.1-4 
#Pages ITE-4 
Date of Issue ITE-IST-2021-03-19 


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